An improved ranking methodology for malignant carcinoma in multicriterian decision making using hesitant VIKOR fuzzy

Abstract

Smoking is the major cause for lung carcinoma (LC) resultsin two major types likenon-small cell lung cancer (NSCLC) and small cell lung cancer (SCLC). As such, it is malignant in nature and the mortality rate is very high. The main aim is to evaluate the risk factor of the patient with LC being ranked towards the priority treatment for the longevity of life. In the article, the hesitant fuzzy VIKOR methodology is proposed to determine the severity of the patient disease through the ranking methods, based on the ranking the treatment should be given accordingly. The sampling data set was deployed and applied in the above said methodology which provides higher outcomes. In India, the survey (up to Globocan 2018) gives the detailed pictures towards patient with malignant LC in which 48,198 male new cases were found, out of which 45,363 patients diseased due to the severity of the disease. In particular, 19,097 females were affected and 18,112 were dead. The mean value of the mortality rate was calculated as 54.6%. Especially it affects the person who is having the age 65 years and above. The smoker and Non-smoker ratio is 20:1 available in making various studies. Normally smokers will get LC than the non- smokers. The study reveals that the second-hand smokers one who inhales the other smoke will also get affected. From the above facts, persons far away from the tobacco smokes will not get affected from the chronic mortality. The novelty of the work exhibits, VIKOR has a great situation in giving a situating procedure to positive qualities and negative attributes when it is used and examined in decision making.